Triple

T1615488
Position Surface form Disambiguated ID Type / Status
Subject Bellary E34707 entity
Predicate formerName P65 FINISHED
Object Ballari E169792 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ballari | Statement: [Bellary, formerName, Ballari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballari
Context triple: [Bellary, formerName, Ballari]
  • A. Ballari chosen
    Ballari is a major city in the Indian state of Karnataka, known for its rich mineral resources and historical forts.
  • B. Ballana
    Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
  • C. Solan
    Solan is a town in the Indian state of Himachal Pradesh known for its mushroom cultivation and as a growing commercial and educational hub in the region.
  • D. Verbania
    Verbania is a lakeside city in northern Italy, situated on the shores of Lake Maggiore near the Swiss border.
  • E. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9099049e0819099763ecb09fb4f57 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51cd2e54819086924378792eb2e3 completed March 8, 2026, 10:39 a.m.
Created at: March 4, 2026, 7:28 p.m.